Artificial intelligence in healthcare
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts. In this Review Artic...
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| Veröffentlicht in: | Nature biomedical engineering 2018-10, Vol.2 (10), p.719-731 |
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| container_title | Nature biomedical engineering |
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| creator | Yu, Kun-Hsing Beam, Andrew L. Kohane, Isaac S. |
| description | Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts. In this Review Article, we outline recent breakthroughs in AI technologies and their biomedical applications, identify the challenges for further progress in medical AI systems, and summarize the economic, legal and social implications of AI in healthcare.
This Review summarizes the medical applications of artificial intelligence, and its economic, legal and social implications for healthcare. |
| doi_str_mv | 10.1038/s41551-018-0305-z |
| format | Article |
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| fulltext | fulltext |
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| ispartof | Nature biomedical engineering, 2018-10, Vol.2 (10), p.719-731 |
| issn | 2157-846X 2157-846X |
| language | eng |
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| source | SpringerNature Journals |
| subjects | 631/114/1305 631/114/2397 631/114/2413 Artificial intelligence Biomedical and Life Sciences Biomedical Engineering/Biotechnology Biomedical materials Biomedicine Data acquisition Health care Learning algorithms Machine learning Medical electronics Review Article Social impact |
| title | Artificial intelligence in healthcare |
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